期刊文献+

NLOS环境下无线传感器网络TOA定位算法 被引量:18

TOA Location Algorithm in Wireless Sensor Network Under NLOS Environment
在线阅读 下载PDF
导出
摘要 针对现有定位算法定位精度低、适用场景少的问题,提出一种非视距传播(NLOS)环境下的无线传感器网络电波到达时间(TOA)定位算法。对未知节点位置进行初步估计,将该估计值作为初始迭代参考点,利用泰勒级数展开法进行迭代计算,得到未知节点位置的二次估计值。使用二次估计值反推得到未知节点与各传感器锚节点的近似距离,将原始TOA测量距离与该近似距离之差作为非视距传播误差值,从而剔除NLOS误差较大的TOA测量组,利用误差修正后的TOA测量组再次进行泰勒级数迭代处理,实现未知节点的精确定位。仿真结果表明,该算法可有效抑制NLOS误差,相比传统定位算法,其定位误差小、定位精度高。 Aiming at the existing localization algorithms have the problem of low positioning accuracy and less applicable scenario, under the Non-Line-of-Sight(NLOS) environments, a localization algorithm based on Time of Arrival(TOA) in Wireless Sensor Network(WSN) is proposed in this paper. It uses the initial estimation of the unknown node as the reference point, the Taylor series expansion method is used to calculate the second estimation iteratively. The second estimation value is used to calculate the approximate distance between the unknown node and the anchor nodes. And this distance can be modified with the original TOA distance to determine the NLOS errors. The TOA measurement groups which are seen as containing the large NLOS error can be removed. The Taylor method is used to get the precise position of the unEnown node based on the rest of the TOA measurements after correction processing. Simulation results show that the proposed location algorithm can restrain NLOS error effectively, and has better location accuracy than the traditional location algorithms.
作者 徐彤阳
出处 《计算机工程》 CAS CSCD 2013年第12期93-96,共4页 Computer Engineering
基金 国家自然科学基金资助项目(U1204606) 山西省高等学校科技创新基金资助项目(2013124) 浙江省教育厅科研计划基金资助项目(Y201225848)
关键词 非视距传播 定位 到达时间 无线传感器网络 锚节点 未知节点 Non-Line-of-Sight(NLOS) location Time of Arrival(TOA) Wireless Sensor Network(WSN) anchor node unknown node
  • 相关文献

参考文献12

二级参考文献100

  • 1李静,刘琚.用卡尔曼滤波器消除TOA中NLOS误差的三种方法[J].通信学报,2005,26(1):130-135. 被引量:39
  • 2仉树军,李红艳,鲁硕.基于TOA/TDOA的Ad hoc网络无线定位研究[J].电子科技,2005,18(5):44-47. 被引量:7
  • 3张正勇,孙智,王刚,余荣,梅顺良.基于移动锚节点的无线传感器网络节点定位[J].清华大学学报(自然科学版),2007,47(4):534-537. 被引量:20
  • 4张令文,谈振辉.基于泰勒级数展开的蜂窝TDOA定位新算法[J].通信学报,2007,28(6):7-11. 被引量:39
  • 5Jeffrey H Reed, et al. An overview of the challenges and progress in meeting the E-911requirement for location service[ J ]. IEEE Communications Magazine, 1998,36 ( 4 ) : 30 - 37.
  • 6J J Caffery. Wireless Location in CDMA Cellular Radio Systems[ M]. Norwell, MS, USA: Kluwer Academic Publishers, 1999.20 - 25.
  • 7Y T Chan, K C Ho. A simple and efficient estimator for hyperbolic location[ J]. IEEE. Transactions on Acoustics,Speech, and Signal Processing, 1994,42(8) : 1905 - 1915.
  • 8B Friedlander. A passive localization algorithm and its accuracy analysis[ J]. IEEE Journal of Oceanic Engineering, 1987, 12 (1):234-245.
  • 9W H Foy. Position location solutions by Taylor-series estimation[ J ]. IEEE, Transactions on Aerospace and Electronic Systems, 1976,12(2) : 187 - 194.
  • 10J S Abel. A divide and conquer approach to least-squares estimarion[ J ]. IEEE. Transactions on Aerospace and Electronic Systems, 1990,26(3) : 423 - 427.

共引文献184

同被引文献142

引证文献18

二级引证文献116

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部